做一个动作捕捉程序，遇到了这个漂亮的错误。似乎深度存在问题，但是代码中的任何地方都不应该成为问题。
in get_x_centroid
grayscale_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
error: C:projectsopencv-
pythonopencvmodulesimgprocsrccolor.cpp:10600: error: (-215) depth
== CV_8U || depth == CV_16U || depth == CV_32F in function cv::cvtColor
我研究了这个错误，但没有人有实时视频馈送的解决方案。请帮忙，这很快就会到期。将附加下面的所有代码。
import time
import cv2
import numpy as np
cap =cv2.VideoCapture(0)
def on_mouse(event, x, y, flags, params):
if event == cv2.EVENT_LBUTTONDOWN:
# print "Left mouse button clicked at: x =", x, ",y=", y
hsv = hsv_img[y,x]
#print "hue:", hsv_img[0],"saturation:", hsv[1],"value:",hsv[2]
cv2.namedWindow("Orginal")
cv2.namedWindow("Red")
cv2.namedWindow("Blue")
cv2.namedWindow("Green")
cv2.setMouseCallback("Original", on_mouse, param = None)
#Find the actual numbers,, captureimage3 has the clicky
lower_b = [163,180,183]
upper_b = [129,132,255]
lower_g = [109,93,100]
upper_g = [95,98,255]
lower_r = [97,10,24]
upper_r = [180,140,255]
lower_R = [0,70,195]
upper_R = [20,140,255]
lower_y = [122,113,116]
upper_y = [170,65, 255]
lower_b = np.array(lower_b,dtype = "uint8")
upper_b = np.array(upper_b,dtype = "uint8")
lower_g = np.array(lower_g,dtype = "uint8")
upper_g = np.array(upper_g,dtype = "uint8")
lower_r = np.array(lower_r,dtype = "uint8")
upper_r = np.array(upper_r,dtype = "uint8")
lower_R = np.array(lower_R,dtype = "uint8")
upper_R = np.array(upper_R,dtype = "uint8")
lower_y = np.array(lower_y,dtype = "uint8")
upper_y = np.array(upper_y,dtype = "uint8")
kernel = np.ones((0,0), np.uint8)
def show_filtered_image(window_name,lower,upper):
new_mask = cv2.inRange(hsv_img,lower,upper)
filtered_image = cv2.bitwise_or(frame, frame, mask = new_mask)
eroded_image = cv2.erode(filtered_image, kernel, iterations=1)
dilated_image = cv2.dilate(eroded_image, kernel, iterations=1)
cv2.imshow(window_name, dilated_image)
def get_x_centroid(image):
grayscale_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
moment_values = cv2.moments(grayscale_image)
if moment_values["m00"] !=0:
x_centroid = moment_values ["m10"]/moment_values["m00"]
else:
x_centroid = 1
return x_centroid
def get_y_centroid(image):
grayscale_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
moment_values = cv2.moments(grayscale_image)
if moment_values["m00"] !=0:
y_centroid = moment_values ["m01"]/moment_values["m00"]
else:
y_centroid = 1
return y_centroid
k = cv2.waitKey(5) & 0xFF
while (k != 27):
ret, frame = cap.read()
hsv_img = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
cv2.imshow("Original", frame)
show_filtered_image("Blue", lower_b, upper_b)
show_filtered_image("Green", lower_g, upper_g)
show_filtered_image("Yellow", lower_y, upper_y)
blue_mask = cv2.inRange(hsv_img, lower_b, upper_b)
filtered_b = cv2.bitwise_or(frame, frame, mask = blue_mask)
green_mask = cv2.inRange(hsv_img, lower_g, upper_g)
filtered_g = cv2.bitwise_or(frame, frame, mask = green_mask)
yellow_mask = cv2.inRange(hsv_img, lower_y, upper_y)
filtered_y = cv2.bitwise_or(frame, frame, mask = yellow_mask)
#filtered_combo_red = cv2.bitwise_or(filtered_r, filtered_R)
#cv2.imshow("Red", filtered_combo_red)
#red_x = get_x_centroid(filtered_combo_red)
#red_y = get_y_centroid(filtered_combo_red)
blue_img = get_x_centroid(filtered_b)
blue_img = get_y_centroid(filtered_b)
green_img = get_x_centroid(filtered_g)
green_img = get_y_centroid(filtered_g)
yellow_img = get_x_centroid(filtered_y)
yellow_img = get_y_centroid(filtered_y)
#print "Red X=", red_x," Red Y=", red_y
#red_x = int(get_x_centroid(filtered_combo_red))
#red_y = int(get_y_centroid(filtered_combo_red))
blue_x = int(get_x_centroid(blue_img))
blue_y = int(get_y_centroid(blue_img))
green_x = int(get_x_centroid(green_img))
green_y = int(get_y_centroid(green_img))
yellow_x = int(get_x_centroid(yellow_img))
yellow_y = int(get_y_centroid(yellow_img))
cv2.line(frame,(red_x, red_y),(green_x, green_y), (255,255,255), 3)
cv2.line(frame,(blue_x, blue_y),(yellow_x, yellow_y), (255,255,255), 3)
key_pressed = cv2.waitKey(30)
if key_pressed == 27:
break
>错误消息意味着cv2.cvtColor期望图像的(颜色)深度为8或16位无符号 int(8U, 16U)或32位浮点(32F)。
image需要按照cv2.cvtColor期望进行转换或创建，例如uint8.CV_8U是数据类型的别名uint8
需要进行转换。尝试：
import numpy as np
image1copy = np.uint8(image)
grayscale_image = cv2.cvtColor(image1copy, cv2.COLOR_HSV2BGR)
顺便说一句：
OpenCV 2.4.13.6 文档 » OpenCV API 参考 » 核心。核心功能 »
bitwise_or
计算两个数组或一个数组和一个标量的每个元素的按位析取。
C++: void bitwise_or(InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
和
Python: cv2.bitwise_or(src1, src2[, dst[, mask]]) → dst